Class for building and using a decision stump.
A Hoeffding tree (VFDT) is an incremental, anytime decision tree induction algorithm that is capable of learning from massive data streams, assuming that the distribution generating examples does not change over time.
Class for generating a pruned or unpruned C4.5 decision tree.
Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves.
Class for constructing a forest of random trees.
For more information see:
Leo Breiman (2001).
Class for constructing a tree that considers K randomly chosen attributes at each node.
Fast decision tree learner.